Results provided by MILC, MMILC, NP-MILC, and NP-MMILC when applied to the maps in Fig. 4. The detection threshold has been set to 4σ_L for all algorithms except for NP-MMILC for which a value of 3.5σ_L has been adopted (see text) and the background has been approximated by a two-dimensional polynomial of degree one. The top and bottom left panels clearly show that both MMILC and NP-MMILC are not able to retrieve point sources in this case. This happens because the spectrum of the point sources has a frequency-dependence similar to the CMB and SZ, and therefore the subtraction process gets rid of all of them. The top and bottom right panels show that both MILC and NP-MILC, on the contrary, retrieve all sources and the SZ point-like emissions, because it subtracts the underlying diffuse component with the polynomial approximation. For NP-MILC a greater noise contamination of the detection map is evident. Also notice the detection of two couples of overlapping point sources in the bottom-right and middle-right part of the map.